Skip to main content
Glama

VulneraMCP

An AI-Powered Bug Bounty MCP Server — recon, vulnerability testing, API/auth/cloud scanning, graph analysis, and reporting for security researchers and bug bounty hunters.

License: MIT TypeScript Node.js Demo Glama

VulneraMCP is a Model Context Protocol (MCP) server for bug bounty hunting and security testing. It integrates OWASP ZAP, optional Caido/Burp Suite, and CLI tools (subfinder, httpx, gau, ffuf) for reconnaissance, JavaScript analysis, XSS/SQLi/IDOR/CSRF testing, API and auth misconfiguration checks, cloud bucket and secret scanning, orchestrated scan flows, knowledge-graph analysis, wordlist generation, and Markdown reporting — with PostgreSQL storage for findings and test results.

🎬 Demo

Watch the VulneraMCP demonstration on YouTube: https://youtu.be/wlUvBVNyh74

Related MCP server: Bug Bounty MCP Server

🌟 Features

🔍 Reconnaissance Tools

  • Subdomain Discovery: Subfinder, Amass integration

  • Live Host Detection: HTTPx for checking active endpoints

  • DNS Resolution: DNS record enumeration (A, AAAA, CNAME, MX, TXT)

  • URL Discovery: Gau (Get All URLs) from archives and crawlers

  • Fuzzing: ffuf for directory, file, and parameter discovery

  • Full Recon Workflow: Automated multi-tool reconnaissance

🔐 Security Testing

  • XSS Testing: Automated cross-site scripting detection

  • SQL Injection: SQLi vulnerability testing with sqlmap fallback

  • IDOR Detection: Insecure Direct Object Reference testing

  • CSP Analysis: Content Security Policy misconfiguration detection

  • Auth Bypass: Authentication bypass attempt testing

  • CSRF Testing: Cross-Site Request Forgery detection with advanced techniques

🌐 API Testing

  • GraphQL: Introspection and misconfiguration checks

  • Rate Limiting: Endpoint rate limit testing

  • BOLA / IDOR: Broken object level authorization tests

  • Mass Assignment: Unsafe field assignment detection

  • Swagger/OpenAPI: API documentation enumeration

🔑 Authentication Testing

  • JWT: None algorithm and algorithm confusion attacks

  • OAuth: Misconfiguration detection

  • Session: Fixation and cookie flag analysis

  • Password Reset: Host header poisoning tests

  • MFA: Bypass signal detection and testing

☁️ Cloud Security

  • Storage: S3/Azure/GCP bucket enumeration and permission probes

  • Secrets: Exposed key scanning in JS, HTML, and env files

  • Terraform: State file leak detection

🎯 Scanner Orchestration

  • Target Normalization: Standardize targets for multi-tool flows

  • Run Flow: Orchestrated scanning across API, auth, and cloud tools

  • Finding Correlation: Link and correlate results across tests

📈 Graph Analysis

  • Knowledge Graph: Store targets, findings, and relationships in PostgreSQL

  • Pattern Detection: Extract patterns and find similar findings

  • Attack Graphs: Generate, rank, and export attack paths (JSON, GraphML)

📝 Reporting & Wordlists

  • Report Generation: Markdown reports from findings

  • Wordlist Generation: Directories, files, parameters, and combined lists

📜 JavaScript Analysis

  • JS Download: Download and analyze JavaScript files

  • Code Beautification: Format and beautify minified JS

  • Endpoint Extraction: Find API endpoints and URLs in JS

  • Secret Detection: Heuristic API key and token extraction

  • Full Analysis: Combined download, beautify, and analyze workflow

🕷️ Integration

  • Spider Scans: Automated web crawling

  • Active Scanning: Vulnerability scanning

  • Proxy Integration: Process requests through ZAP proxy

  • Alert Management: Retrieve and analyze security alerts

  • Context Management: Define scanning contexts

💾 Database Integration

  • PostgreSQL: Store findings, test results, and scores

  • Redis: Working memory and caching (optional)

  • Finding Management: Save and retrieve bug findings

  • Test Result Storage: Track all security tests with statistics

🖼️ Rendering Tools

  • Screenshots: Capture webpage screenshots with Puppeteer

  • DOM Extraction: Extract and analyze page structure

  • Form Extraction: Find and analyze web forms

  • JavaScript Execution: Execute JS in page context

🤖 AI Training & Pattern Matching

  • Training Data Import: Import from HTB, PortSwigger labs

  • Pattern Matching: Learn from successful exploits

  • Writeup Analysis: Extract patterns from bug bounty writeups

  • CSRF Patterns: Pre-loaded CSRF exploitation patterns

📊 Web Dashboard

  • Real-time Statistics: View test results and findings

  • Finding Management: Browse and analyze discovered vulnerabilities

  • Visual Analytics: Track testing progress and success rates

🚀 Quick Start

Prerequisites

  • Node.js 20+ and npm

  • PostgreSQL 18+ (or Docker)

  • Redis (optional, for caching)

  • ZAP (optional, for active scanning)

  • Caido (optional, for traffic analysis)

Installation

# Clone the repository
git clone https://github.com/telmon95/VulneraMCP.git
cd VulneraMCP

# Install dependencies
npm install

# Build the project
npm run build

Configuration

  1. Copy environment template:

    cp mcp.json.example mcp.json
  2. Configure your environment variables:

    • Set up PostgreSQL connection details

    • Configure Caido API token (if using)

    • Set ZAP API URL (default: http://localhost:8081)

  3. Initialize the database:

    node init-db.js

Running the Server

# Start the MCP server
npm start

# Start the dashboard (in another terminal)
npm run dashboard

# Access dashboard at http://localhost:3000

Docker Setup

# Start all services with Docker Compose
docker-compose up -d

# Or use the startup script
./start-services.sh

📖 Usage

Via MCP Client (Cursor, Claude Desktop, etc.)

The server provides MCP tools that can be called through any MCP-compatible client:

Reconnaissance:

recon.subfinder domain: example.com
recon.httpx input: example.com,subdomain.example.com
recon.full domain: example.com

Security Testing:

security.test_xss url: https://example.com/search?q=<script>
security.test_sqli url: https://example.com/user?id=1
security.test_csrf url: https://example.com/profile/update

JavaScript Analysis:

js.analyze url: https://example.com/static/app.js
js.extract_secrets source: <javascript_code>

ZAP Integration:

zap.start_spider url: https://example.com
zap.start_active_scan url: https://example.com
zap.get_alerts baseURL: https://example.com

Caido Integration:

caido.query httpql: "req.host.cont:\"example.com\" AND req.path.cont:\"api\""
caido.agent_discover_endpoints host: example.com

Rate Limiting & Best Practices

When testing bug bounty programs, always respect rate limits:

// Example: 2 requests/second limit
const rateLimiter = require('./hunting/rate-limiter');
const limiter = rateLimiter(2); // 2 req/sec

await limiter();
// Make your request

🏗️ Project Structure

VulneraMCP/
├── src/
│   ├── integrations/    # External service integrations
│   │   ├── zap.ts       # OWASP ZAP integration
│   │   ├── caido.ts     # Caido integration
│   │   ├── postgres.ts  # PostgreSQL database
│   │   └── redis.ts     # Redis caching
│   ├── tools/           # MCP tools (recon, security, etc.)
│   ├── mcp/             # MCP server implementation
│   └── index.ts         # Main entry point
├── public/              # Dashboard frontend
├── hunting/             # Bug bounty hunting scripts
├── dist/                # Compiled TypeScript output
└── dashboard-server.js  # Dashboard API server

🔧 Configuration

MCP Server Configuration (mcp.json)

{
  "name": "vulneramcp",
  "command": "node",
  "args": ["dist/index.js"],
  "env": {
    "POSTGRES_HOST": "localhost",
    "POSTGRES_PORT": "5433",
    "POSTGRES_USER": "postgres",
    "POSTGRES_DB": "bugbounty"
  }
}

Environment Variables

# PostgreSQL
POSTGRES_HOST=localhost
POSTGRES_PORT=5433
POSTGRES_USER=postgres
POSTGRES_PASSWORD=your_password
POSTGRES_DB=bugbounty

# ZAP
ZAP_API_URL=http://localhost:8081

# Caido
CAIDO_API_TOKEN=your_token

# Redis (optional)
REDIS_HOST=localhost
REDIS_PORT=6379

📊 Dashboard

The web dashboard provides:

  • Statistics: Test results, success rates, vulnerability distribution

  • Findings: Detailed view of discovered vulnerabilities

  • Search & Filter: Find specific findings by target, type, severity

Access at: http://localhost:3000

💖 Sponsor

If VulneraMCP helps your bug bounty or security research workflow, consider sponsoring development on GitHub Sponsors.

Your support helps fund new features, documentation, security testing, and long-term maintenance of this open source project.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository

  2. Create your feature branch (git checkout -b feature/AmazingFeature)

  3. Commit your changes (git commit -m 'Add some AmazingFeature')

  4. Push to the branch (git push origin feature/AmazingFeature)

  5. Open a Pull Request

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

⚠️ Disclaimer

This tool is for authorized security testing only. Always:

  • Get proper authorization before testing

  • Respect rate limits and terms of service

  • Follow responsible disclosure practices

  • Never use on systems you don't own or have explicit permission to test

🙏 Acknowledgments

  • ZAP for vulnerability scanning

  • The bug bounty community for inspiration and feedback

📚 Documentation

🐛 Issues

Found a bug? Have a feature request? Please open an issue on GitHub.

📧 Contact

Install Server
A
license - permissive license
B
quality
A
maintenance

Maintenance

Maintainers
Response time
Release cycle
1Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • F
    license
    -
    quality
    D
    maintenance
    AI-powered cybersecurity automation platform with 150+ security tools and 12+ autonomous AI agents for penetration testing, vulnerability assessment, and bug bounty hunting. Enables comprehensive security testing through intelligent tool selection and automated workflows.
    Last updated
    2
  • A
    license
    C
    quality
    D
    maintenance
    Enables AI agents to generate and manage specialized bug bounty hunting workflows including reconnaissance, vulnerability testing, OSINT gathering, and file upload testing. Provides REST API endpoints for comprehensive security assessments with intelligence-driven vulnerability prioritization.
    Last updated
    40
    2
    MIT
  • A
    license
    -
    quality
    F
    maintenance
    Enables comprehensive security testing and penetration testing through natural language conversations with 92+ tools for reconnaissance, vulnerability assessment, web application testing, OSINT, and reporting. Designed for authorized bug bounty hunting and security assessments.
    Last updated
    38
    MIT
  • A
    license
    C
    quality
    D
    maintenance
    An automated penetration testing framework that enables intelligent security assessments through reconnaissance, vulnerability scanning, and controlled exploitation. Features AI-driven workflow management with comprehensive reporting for authorized security testing.
    Last updated
    27
    21
    7
    BSD 3-Clause

View all related MCP servers

Related MCP Connectors

  • AI-powered threat intelligence, smart contract auditing, and cybersecurity OSINT.

  • Offline methodology engine for authorized penetration testing, CTF, and security research.

  • Zero-config MCP security scanner for AI-generated apps. 25K+ vulnerability patterns.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/telmon95/VulneraMCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server